Xingang Peng

According to our database, Xingang Peng authored at least 15 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Rag2Mol: structure-based drug design based on retrieval augmented generation.

Peidong Zhang, Xingang Peng, Rong Han, Ting Chen, Jianzhu Ma

Briefings Bioinform., 2025

Group Ligands Docking to Protein Pockets.

Jiaqi Guan, Jiahan Li, Xiangxin Zhou, Xingang Peng, Sheng Wang, Yunan Luo, Jian Peng, Jianzhu Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Geometric Representation Condition Improves Equivariant Molecule Generation.

Zian Li, Cai Zhou, Xiyuan Wang, Xingang Peng, Muhan Zhang

CoRR, 2024

Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design.

Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang, Jianzhu Ma

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Characterizing the interaction conformation between T-cell receptors and epitopes with deep learning.

Xingang Peng, Yipin Lei, Peiyuan Feng, Lemei Jia, Jianzhu Ma, Dan Zhao, Jianyang Zeng

Nat. Mac. Intell., April, 2023

LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion.

Jiaqi Guan, Xingang Peng, Peiqi Jiang, Yunan Luo, Jian Peng, Jianzhu Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation.

Xingang Peng, Jiaqi Guan, Qiang Liu, Jianzhu Ma

Proceedings of the International Conference on Machine Learning, 2023

Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs.

Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction.

Jiaqi Guan, Wesley Wei Qian, Xingang Peng, Yufeng Su, Jian Peng, Jianzhu Ma

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

MobilePrune: Neural Network Compression via ℓ0 Sparse Group Lasso on the Mobile System.

Yubo Shao, Kaikai Zhao, Zhiwen Cao, Zhehao Peng, Xingang Peng, Pan Li, Yijie Wang, Jianzhu Ma

Sensors, 2022

Boosting the Cycle Counting Power of Graph Neural Networks with I²-GNNs.

Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang

CoRR, 2022

Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures.

Shitong Luo, Yufeng Su, Xingang Peng, Sheng Wang, Jian Peng, Jianzhu Ma

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets.

Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma

Proceedings of the International Conference on Machine Learning, 2022

3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design.

Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang

Proceedings of the International Conference on Machine Learning, 2022

2014

3-D Reconstruction of Three Views Based on Manifold Study.

Cong Li, Hongrui Zhao, Gang Fu, Xingang Peng

Proceedings of the Advances in Image and Graphics Technologies - Chinese Conference, 2014